DynExp-高度灵活的实验室自动化，用于动态变化的经典和量子实验

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-13 DOI:10.1016/j.softx.2024.101964

Julian M. Bopp , Tim Schröder

{"title":"DynExp-高度灵活的实验室自动化，用于动态变化的经典和量子实验","authors":"Julian M. Bopp , Tim Schröder","doi":"10.1016/j.softx.2024.101964","DOIUrl":null,"url":null,"abstract":"<div><div>Experiments in science and particularly quantum physics grow complex requiring sophisticated control software. Such software must provide a rigorous abstraction between hardware and measurement modules. Furthermore, it should provide networking functionality for accessing shared devices connected to a network and for publishing measured data to remote sites. However, to date there is no fast and easy-to-use experimental control software for this purpose written in C++. We introduce DynExp as a highly flexible laboratory automation software. It enables to assign physical devices to measurement modules at runtime and provides networking functionality. Its embedded Python interpreter allows processing measured data in realtime.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101964"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DynExp—Highly flexible laboratory automation for dynamically changing classical and quantum experiments\",\"authors\":\"Julian M. Bopp , Tim Schröder\",\"doi\":\"10.1016/j.softx.2024.101964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Experiments in science and particularly quantum physics grow complex requiring sophisticated control software. Such software must provide a rigorous abstraction between hardware and measurement modules. Furthermore, it should provide networking functionality for accessing shared devices connected to a network and for publishing measured data to remote sites. However, to date there is no fast and easy-to-use experimental control software for this purpose written in C++. We introduce DynExp as a highly flexible laboratory automation software. It enables to assign physical devices to measurement modules at runtime and provides networking functionality. Its embedded Python interpreter allows processing measured data in realtime.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"28 \",\"pages\":\"Article 101964\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024003340\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024003340","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}

引用次数: 0

摘要

科学实验，尤其是量子物理实验越来越复杂，需要复杂的控制软件。这种软件必须在硬件和测量模块之间提供严格的抽象。此外，它还应提供联网功能，以访问连接到网络的共享设备，并将测量数据发布到远程站点。然而，迄今为止，还没有一款用 C++ 编写的快速易用的实验控制软件。我们介绍的 DynExp 是一款高度灵活的实验室自动化软件。它能在运行时为测量模块分配物理设备，并提供联网功能。其嵌入式 Python 解释器可实时处理测量数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

DynExp—Highly flexible laboratory automation for dynamically changing classical and quantum experiments

Experiments in science and particularly quantum physics grow complex requiring sophisticated control software. Such software must provide a rigorous abstraction between hardware and measurement modules. Furthermore, it should provide networking functionality for accessing shared devices connected to a network and for publishing measured data to remote sites. However, to date there is no fast and easy-to-use experimental control software for this purpose written in C++. We introduce DynExp as a highly flexible laboratory automation software. It enables to assign physical devices to measurement modules at runtime and provides networking functionality. Its embedded Python interpreter allows processing measured data in realtime.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.